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Séminaire ETIS : Jennifer Hasler

Titre du séminaire et oratrice

Computing with Physical (Analog) Systems.

Jennifer Hasler, Georgia Institute of Technology.

Date et lieu

Mercredi 28 juin 2017, 14h30.

ENSEA, salle 384.

Abstract

This talk focuses on the potential of ultra-low power physical computing systems. This talk considers the current state of analog computation, energy efficient computation, and analog numerical analysis, moving towards starting a unified analog-computing framework, including neuromorphic, optical, and quantum computing, as part of physical computing.  We address the possibility of analog numerical analysis, including exploring the relevancy and need for this framework. A complexity framework based on computational strengths and weaknesses builds from addressing analog and digital numerical precision, as well as addresses analog and digital error propagation due to computation. The complimentary analog and digital computational techniques enable wider computational and signal-processing capabilities.  We discuss the floating-gate (FG)-based, field-programmable analog array (FPAA) system-on-chip (SoC) that integrates analog and digital programmable and configurable locks with a 16-bit open-source MSP430 microprocessor (μP) and resulting interface circuitry. We show the FPAA SoC architecture, experimental results from a range of circuits compiled into this architecture, and system measurements. A compiled analog acoustic command-word classifier on the FPAA SoC requires 23 μW to experimentally recognize the word dark in a TIMIT database phrase.

 

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